Novel Stemness-Related Gene Signature Predicting Prognosis and Indicating a Different Immune Microenvironment in HNSCC

Novel Stemness-Related Gene Signature Predicting Prognosis and Indicating a Different Immune Microenvironment in HNSCC

Blog Article

Background: The head and neck squamous cell carcinomas (HNSCC) is one of the most frequent cancers in the world, with an unfavorable prognosis.Cancer stem cells (CSCs) Hard Top Headliners / Deadeners have been found to be responsible for HNSCC recurrence and therapeutic resistance.Methods: The stemness of HNSCC was measured using a stemness index based on mRNA expression (mRNAsi).Stemness-related genes were discovered using weighted gene co-expression network analysis, least absolute shrinkage and selection operator analysis, and Cox regression, and a stemness-related prognostic index (SPI) was constructed.This research was based on TCGA and GSE65858.

Results: Stemness was found upregulated in HNSCC compared with normal tissues.The risk score model including five stemness-related genes exhibited a good accuracy in predicting outcomes.High SPI predicted a shorter overall survival (OS) in HNSCC patients, in the meantime, also demonstrated a lower CD8+ T cell infiltration and a higher enrichment of macrophages and fibroblasts than the low-SPI group, focusing on several up-regulated pathways such as epithelial mesenchymal transition (EMT), MYC targets v1, E2F targets, mTORC1 signaling, hypoxia, MYC targets v2, angiogenesis, G2M checkpoint, and glycolysis.Conclusion: The SPI signature, which includes five stemness-related genes, could be utilized as a prognostic biomarker for HNSCC, implying that stemness may impact HNSCC immunologic profiles and Chains be a feasible therapeutic target.